Data Scientist Resume Keywords
These are the skills that recent data scientist job postings list most often. We counted them across 559 postings from 395 employers, posted between September 29, 2026 and November 12, 2026.
Top 20 skills in data scientist job postings
- 176% of postings60% as required
Python
- 261% of postings48% as required
SQL
- 336% of postings33% as required
Machine learning
- 426% of postings24% as required
R
- 515% of postings13% as required
Data visualization
- 615% of postings14% as required
Data science
- 713% of postings10% as required
Spark
- 812% of postings10% as required
scikit-learn
- 912% of postings11% as required
Data analysis
- 1012% of postings10% as required
PyTorch
- 1111% of postings10% as required
Causal inference
- 1211% of postings8% as required
Databricks
- 1310% of postings9% as required
Statistical modeling
- 149% of postings7% as required
pandas
- 159% of postings6% as required
Tableau
- 168% of postings7% as required
Statistical analysis
- 178% of postings8% as required
TensorFlow
- 188% of postings7% as required
Snowflake
- 198% of postings8% as required
Statistics
- 208% of postings5% as required
NLP
Source: public postings from employer career sites collected by LetMeApply. Skills are read from each posting with AI and merged across spellings (for example, AWS and Amazon Web Services). Each employer counts at most 3 times, so one company hiring in bulk does not skew the list.
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How to use this list
- Treat it as a map of the market, not a checklist. Tailor to the posting you are applying to.
- For each skill you really have, make sure it is written on your resume, in the posting's wording, where you used it.
- Leave out skills you do not have. Listing them can cost you in the interview.